AIMC Topic: Laryngeal Neoplasms

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A recurrence model for laryngeal cancer based on SVM and gene function clustering.

Acta oto-laryngologica
CONCLUSION: A prognostic model was obtained for LC. Several critical genes were unveiled. They could be potentially applied for LC recurrence prediction.

Transoral robotic resection of an adult laryngeal haemangioma and review of the literature.

The Journal of laryngology and otology
BACKGROUND: Haemangioma of the adult larynx is an uncommon, benign lesion. The optimal surgical method of treating these lesions is controversial because only very limited case series are available. This paper reports the results of transoral robotic...

Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning.

European journal of radiology
OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage invasion by laryngeal and hypopharyngeal cancers observed on computed tomography (CT) images and evaluate the model's diagnostic performance.

ChatGPT-4 vs. multi-disciplinary tumor board decisions for the therapeutic management of primary laryngeal cancer.

Acta oto-laryngologica
BACKGROUND: Artificial intelligence-based clinical decision support systems are promising tools for addressing the increasing complexity of oncological data and treatment. However, the integration and validation of models such as ChatGPT within multi...

Transcriptomics-based exploration of ubiquitination-related biomarkers and potential molecular mechanisms in laryngeal squamous cell carcinoma.

BMC medical genomics
BACKGROUND: One of the most common and prevalent cancers is laryngeal squamous cell carcinoma (LSCC), which poses a great threat to the life and health of the patient. Nonetheless, it has been demonstrated that ubiquitination is crucial for the devel...

Multiparameter MRI-based model integrating radiomics and deep learning for preoperative staging of laryngeal squamous cell carcinoma.

Scientific reports
The accurate preoperative staging of laryngeal squamous cell carcinoma (LSCC) provides valuable guidance for clinical decision-making. The objective of this study was to establish a multiparametric MRI model using radiomics and deep learning (DL) to ...

[The application of domestic flexible arm robot in assisting transoral resection of throat tumors].

Zhonghua yi xue za zhi
The current study aimed to evaluate the application value of the domestic otolaryngology-specific flexible-arm robotic system in the resection of throat tumors. A 53-year-old male patient diagnosed with a left-sided throat tumor underwent tumor resec...

Molecular characterization, immunocorrelation analysis, WGCNA analysis and machine learning modeling of genes associated with copper death subtypes of laryngeal cancer.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Laryngeal cancer is a malignant tumor that originates from the mucous membrane of the larynx. Currently, the specific involvement mechanism of copper death in laryngeal cancer patients has not been deeply studied.

[Diagnosis of benign laryngeal tumors using neural network].

Vestnik otorinolaringologii
The article describes our experience in developing and training an artificial neural network based on artificial intelligence algorithms for recognizing the characteristic features of benign laryngeal tumors and variants of the norm of the larynx bas...

Patient Centered Event Representation for the Treatment of Multifactorial Diseases: Current Progress and Challenges.

Studies in health technology and informatics
Events such as clinical interventions, adverse drug events are one of the basic semantic units in the clinical workflow and are the foundation of the pathway representation. Current research has mainly concentrated on event recognition through concep...